The aim of this practical is to give you an understanding of the common appraches that are used to process and analyse animal movement data. We will be doing this in the R statistical framework and will introduce you to some commonly used R packages.
During this practical you will:
This practical will be based on the tidyverse style of R coding. Tidyverse is a collection of R packages designed for data science. The key for this practical is that by learning to structure our data in a ‘tidy’ way we can use the same tools in similar ways for different datasets. This helps to make our data processing and analysis reproducable.
If reproducable and open science is something you are interested in have a look at this paper from Lowndes et al. 2017 and this blog post on Tidy Data for reproducibility, efficiency and collaboration.